Altron Survey | 24 June 2025 (#201)
First Name
Last Name
Email Address
Phone/Mobile
Company Name
Job Title
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How central is cloud computing to your organisation's overall digital strategy for 2030?
Completely central
Very central
Moderately central
Slightly central
Not at all
Which of the following best describes your organisation's expected workload distribution by 2030?
Mostly Public Cloud (e.g., 70% Public, 10% Private, 10% Hybrid, 5% On-prem, 5% Edge)
Balanced Hybrid Approach (e.g., 30% Public, 30% Private, 20% Hybrid, 10% On-prem, 10% Edge)
Private Cloud Dominant (e.g., 20% Public, 50% Private, 10% Hybrid, 15% On-prem, 5% Edge)
Edge-Heavy Deployment (e.g., 25% Public, 15% Private, 10% Hybrid, 10% On-prem, 40% Edge)
Legacy-Heavy with Light Cloud Use (e.g., 10% Public, 10% Private, 10% Hybrid, 60% On-prem, 10% Edge)
Cloud-Native Future (e.g., 90% Public, 5% Private, 5% Hybrid, 0% On-prem, 0% Edge)
Other
If other, please specify:
What will be your top 3 cloud priorities by 2030?
Cost optimisation
AI integration
Security
Data residency
Multi-cloud resilience
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Rate your organisation’s cloud maturity today (Where 1 is low to 5 is high)
0
Target Maturity by 2030 (Where 1 is Legacy Infrastucture and 5 is Cloud-native)
0
How do you expect your cloud budget to change between now and 2030?
Increase significantly
Increase moderately
Remain flat
Decrease
Which workloads will be most cloud-transformed by 2030 in your organisation?
Analytics
ERP
AI/ML
Collaboration
Custom Apps
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What are the biggest obstacles to achieving your cloud vision for 2030?
Skills shortage
Governance issues
Vendor lock-in
Budget constraints
Other
If other, please specify:
Which cloud providers do you expect to rely on most in 2030?
AWS
Azure
GCP
Alibaba
Local/Regional
Other
If other, please specify:
What role will cloud play in enabling your AI/ML initiatives by 2030?
Cloud-based data storage and access
Training large AI/ML models on scalable infrastructure
Running AI/ML inference at scale
Rapid experimentation and prototyping
Integrated AI platforms and toolkits (e.g., SageMaker, Vertex AI, Azure ML)
Edge AI deployment support
Data pipeline orchestration for AI readiness
Governance, security, and compliance for AI workloads
Cost optimisation and elasticity for AI operations
Other
If other, please specify:
How confident are you that your organisation will be cloud-ready for 2030’s demands? (1 is low and 10 is high)
0
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Which of the following best describes your business environment?
Multi-site or distributed operations requiring centralised control
Asset-intensive (equipment, stock, infrastructure requiring monitoring)
Customer-facing with fast-moving retail or service operations
Highly regulated or audit-intensive industry (finance, healthcare, etc.)
Combination of the above
What is the current size of your company?
Fewer than 50 employees
51–250 employees
251–1,000 employees
More than 1,000 employees
How often do you evaluate or upgrade your core business systems (finance, CRM, ERP, cloud infrastructure)?
Every 1–2 years to stay current and scalable
Every 3–5 years or as needed
Only when major issues arise or systems fail
We have never conducted a full systems evaluation
Which statement best describes your current approach to business systems and digital transformation?
We are actively reviewing and upgrading systems for growth
We recognise the need for change but lack clarity on where to start
We are mostly satisfied but open to exploring better technology options
No plans for change or upgrades in the near term
Would you find value in a complimentary readiness assessment that benchmarks your current systems against industry best practices and identifies growth opportunities?
Yes, I’m interested in a detailed readiness report
Maybe – please send more information first
Not at this time
I consent to having my information kept on record.
I would like to have further information on this topic shared with me via the Altron team.
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